Explained: A Style-Based Generator Architecture for GANs - Generating and Tuning Realistic Artificial Faces
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431
Medium
Explained: A Style-Based Generator Architecture for GANs - Generating and Tuning Realistic Artificial Faces
NVIDIA’s novel architecture for Generative Adversarial Networks
How to Develop a Stacking Ensemble for Deep Learning Neural Networks in Python With Keras
https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/
https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates
https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/
https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/
MachineLearningMastery.com
Impact of Dataset Size on Deep Learning Model Skill And Performance Estimates - MachineLearningMastery.com
Supervised learning is challenging, although the depths of this challenge are often learned then forgotten or willfully ignored. This must be the case, because dwelling too long on this challenge may result in a pessimistic outlook. In spite of the challenge…
Creating voice assistant for games (tutorial for FIFA)
Play games with voice commands using a Deep Learning powered wake-word detection engine
https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1
Play games with voice commands using a Deep Learning powered wake-word detection engine
https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1
Medium
Creating voice assistant for games (tutorial for FIFA)
Play games with voice commands using a Deep Learning powered wake-word detection engine.
Top 10 IPython Notebook Tutorials for Data Science and Machine Learning
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
List mostly for beginners.
Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html
#novice #beginner #ipython #jupyter
The best of GAN papers in the year 2018
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
https://dtransposed.github.io/blog/Best-of-GANs-2018-(Part-1-out-of-2).html
Forwarded from Python/ django
Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
https://www.youtube.com/watch?v=uOMhboAnVNk
https://www.youtube.com/watch?v=uOMhboAnVNk
YouTube
1.3: Python Anaconda for Deep Learning, Keras and Tensorflow (Module 1, Part 3)
An introduction to Anaconda Python for deep learning with Keras and TensorFlow. An introduction is provided for vectors, dictionaries, and other Python language elements. This course is taught in a hybrid format at Washington University in St. Louis; however…
Conference on Empirical Methods on Natural Language Processing
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
https://medium.com/unbabel/emnlp18-cookie-monsters-blackboxes-and-document-level-nmt-f5ae0da2d129
Medium
EMNLP’18: Cookie Monsters, Blackboxes, and Document-Level NMT
This year, a total of 10 Unbabel AI researchers descended upon Brussels to attend the Conference on Empirical Methods on Natural Language…
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
https://towardsdatascience.com/reinforcement-learning-without-gradients-evolving-agents-using-genetic-algorithms-8685817d84f
Medium
Reinforcement learning without gradients: evolving agents using Genetic Algorithms
Implementing Deep Neuroevolution in PyTorch to evolve an agent for CartPole [code + tutorial]
Using the latest advancements in deep learning to predict stock price movements
https://medium.com/@borisborev/aifortrading-2edd6fac689d
https://medium.com/@borisborev/aifortrading-2edd6fac689d
Medium
Using the latest advancements in deep learning to predict stock price movements
Link to the complete notebook: https://github.com/borisbanushev/stockpredictionai
University of California, Berkeley full course 2018
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
Forwarded from Python/ django
Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python
https://www.youtube.com/watch?v=LzaWrmKL1Z4
https://www.youtube.com/watch?v=LzaWrmKL1Z4
YouTube
Reinforcement Learning Tutorial | Reinforcement Learning Example Using Python | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
In this video on “Reinforcement Learning Tutorial” you will get an in-depth understanding about how reinforcement…
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
In this video on “Reinforcement Learning Tutorial” you will get an in-depth understanding about how reinforcement…
Padam: Closing the Generalization gap of adaptive gradient methods in training deep neural networks
https://github.com/yashkant/Padam-Tensorflow
https://github.com/yashkant/Padam-Tensorflow
GitHub
GitHub - yashkant/padam-tensorflow: Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In…
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge - yashkant/...
Deep Reinforcement Learning Algorithms with PyTorch
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
GitHub
GitHub - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch: PyTorch implementations of deep reinforcement learning algorithms…
PyTorch implementations of deep reinforcement learning algorithms and environments - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation
https://medium.com/syncedreview/auto-deeplab-fei-fei-li-alan-yuille-on-semantic-image-segmentation-f2f2ab9795d5
https://medium.com/syncedreview/auto-deeplab-fei-fei-li-alan-yuille-on-semantic-image-segmentation-f2f2ab9795d5
Medium
Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation
A cooperative research group from Google, Stanford, and Johns Hopkins has proposed “Auto-DeepLab,” a new method which utilizes…